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Statistical Methods for Survival Data Analysis

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ISBN-10: 0471615927

ISBN-13: 9780471615927

Edition: 2nd 1992

Authors: Elisa T. Lee

List price: $115.00
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Book details

List price: $115.00
Edition: 2nd
Copyright year: 1992
Publisher: John Wiley & Sons, Incorporated
Publication date: 5/7/1992
Binding: Hardcover
Pages: 496
Size: 6.34" wide x 9.59" long x 1.11" tall
Weight: 1.804
Language: English

Preface
Introduction
Preliminaries
Censored Data
Scope of the Book
Bibliographical Remarks
Functions of Survival Time
Definitions
Relationships of the Survival Functions
Bibliographical Remarks
Exercises
Examples of Survival Data Analysis
Example 3.1: Comparison of Two Treatments and Three Diets
Example 3.2: Comparison of Two Survival Patterns Using Life Tables
Example 3.3: Fitting Survival Distributions to Remission Data
Example 3.4: Relative Mortality and Identification of Prognostic Factors
Example 3.5: Identification of Risk Factors
Bibliographical Remarks
Exercises
Nonparametric Methods of Estimating Survival Functions
Product-Limit Estimates of Survivorship Function
Life-Table Analysis
Relative, Five-Year, and Corrected Survival Rates
Standardized Rates and Ratios
Bibliographical Remarks
Exercises
Nonparametric Methods for Comparing Survival Distributions
Comparison of Two Survival Distributions
Mantel-Haenszel Test
Comparison of K (K [greater than sign] 2) Samples
Bibliographical Remarks
Exercises
Some Well-Known Parametric Survival Distributions and Their Applications
Exponential Distribution
Weibull Distribution
Lognormal Distribution
Gamma and Generalized Gamma Distributions
Log-Logistic Distribution
Other Survival Distributions
Bibliographical Remarks
Exercises
Estimation Procedures for Parametric Survival Distributions without Covariates
General Maximum Likelihood Estimation Procedure
Exponential Distribution
Weibull Distribution
Lognormal Distribution
Standard and Generalized Gamma Distributions
Log-Logistic Distribution
Other Parametric Survival Distributions
Bibliographical Remarks
Exercises
Graphical Methods for Survival Distribution Fitting
Introduction
Probability Plotting
Hazard Plotting
Cox-Snell Residual Method
Bibliographical Remarks
Exercises
Tests of Goodness of Fit and Distribution Selection
Goodness-of-Fit Test Statistics Based on Asymptotic Likelihood Inferences
Tests for Appropriateness of a Family of Distributions
Selection of a Distribution Using BIC or AIC Procedures
Tests for a Specific Distribution with Known Parameters
Hollander and Proschan's Test for Appropriateness of a Given Distribution with Known Parameters
Bibliographical Remarks
Exercises
Parametric Methods for Comparing Two Survival Distributions
Likelihood Ratio Test for Comparing Two Survival Distributions
Comparison of Two Exponential Distributions
Comparison of Two Weibull Distributions
Comparison of Two Gamma Distributions
Bibliographical Remarks
Exercises
Parametric Methods for Regression Model Fitting and Identification of Prognostic Factors
Preliminary Examination of Data
General Structure of Parametric Regression Models and Their Asymptotic Likelihood Inference
Exponential Regression Model
Weibull Regression Model
Lognormal Regression Model
Extended Generalized Gamma Regression Model
Log-Logistic Regression Model
Other Parametric Regression Models
Model Selection Methods
Bibliographical Remarks
Exercises
Identification of Prognostic Factors Related to Survival Time: Cox Proportional Hazards Model
Partial Likelihood Function for Survival Times
Identification of Significant Covariates
Estimation of the Survivorship Function with Covariates
Adequacy Assessment of the Proportional Hazards Model
Bibliographical Remarks
Exercises
Identification of Prognostic Factors Related to Survival Time: Nonproportional Hazards Models
Models with Time-Dependent Covariates
Stratified Proportional Hazards Models
Competing Risks Model
Recurrent Events Models
Models for Related Observations
Bibliographical Remarks
Exercises
Identification of Risk Factors Related to Dichotomous and Polychotomous Outcomes
Univariate Analysis
Logistic and Conditional Logistic Regression Models for Dichotomous Responses
Models for Polychotomous Outcomes
Bibliographical Remarks
Exercises
Newton-Raphson Method
Statistical Tables
References
Index